Christian Bell

890 total citations
20 papers, 672 citations indexed

About

Christian Bell is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christian Bell has authored 20 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Spectroscopy and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christian Bell's work include Protein purification and stability (11 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Christian Bell is often cited by papers focused on Protein purification and stability (11 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Christian Bell collaborates with scholars based in Switzerland, Germany and United Kingdom. Christian Bell's co-authors include Christian Siebold, E. Yvonne Jones, Francesc Pérez‐Brangulí, R.A. Robinson, B.J.C. Janssen, Kevin J. Mitchell, B. Bishop, A.R. Aricescu, Sergi Padilla‐Parra and Jonathan Elegheert and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Christian Bell

17 papers receiving 659 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christian Bell Switzerland 12 405 209 123 108 78 20 672
Lisa von Kleist Germany 12 538 1.3× 102 0.5× 334 2.7× 35 0.3× 68 0.9× 15 832
Tim Gilmartin United States 11 622 1.5× 144 0.7× 93 0.8× 59 0.5× 359 4.6× 11 842
Barbara A. Thorne United States 12 548 1.4× 161 0.8× 331 2.7× 54 0.5× 47 0.6× 16 901
Junji Nakao Japan 12 304 0.8× 42 0.2× 74 0.6× 25 0.2× 79 1.0× 24 504
Christophe Cans France 10 720 1.8× 83 0.4× 281 2.3× 15 0.1× 83 1.1× 17 1.0k
Anne Burtey France 8 360 0.9× 116 0.6× 192 1.6× 20 0.2× 65 0.8× 10 500
Petra Budde Germany 14 260 0.6× 48 0.2× 22 0.2× 160 1.5× 168 2.2× 36 648
Ursula Klingmueller Germany 3 299 0.7× 22 0.1× 54 0.4× 13 0.1× 42 0.5× 3 541
Karen J. Vincent United Kingdom 7 394 1.0× 56 0.3× 30 0.2× 130 1.2× 81 1.0× 7 601
Danièle Salaün France 13 329 0.8× 60 0.3× 110 0.9× 10 0.1× 117 1.5× 24 656

Countries citing papers authored by Christian Bell

Since Specialization
Citations

This map shows the geographic impact of Christian Bell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christian Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Bell more than expected).

Fields of papers citing papers by Christian Bell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Bell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christian Bell. The network helps show where Christian Bell may publish in the future.

Co-authorship network of co-authors of Christian Bell

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Bell. A scholar is included among the top collaborators of Christian Bell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christian Bell. Christian Bell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Klemm, Denis, et al.. (2023). Leveraging mass detection to simultaneously quantify surfactant content and degradation mode for highly concentrated biopharmaceuticals. Journal of Pharmaceutical and Biomedical Analysis. 236. 115651–115651.
3.
Bell, Christian, et al.. (2023). High throughput FAMS – A fatty acid mass spectrometry method for monitoring polysorbate hydrolysis in QC. Journal of Chromatography B. 1220. 123614–123614. 3 indexed citations
4.
5.
Chen, Wei, et al.. (2022). The degradation of poloxamer 188 in buffered formulation conditions. SHILAP Revista de lepidopterología. 8(1). 15 indexed citations
6.
Chen, Wei, et al.. (2021). The development and qualification of liquid adsorption chromatography for poloxamer 188 characterization. Journal of Chromatography A. 1652. 462353–462353. 7 indexed citations
7.
Klemm, Denis, Tobias Graf, Cosimo Pinto, et al.. (2020). Simultaneous quantification of polysorbate 20 and poloxamer 188 in biopharmaceutical formulations using evaporative light scattering detection. Journal of Pharmaceutical and Biomedical Analysis. 192. 113640–113640. 11 indexed citations
8.
Graf, Tobias, et al.. (2020). Monitoring modifications in biopharmaceuticals: Toolbox for a generic and robust high-throughput quantification method. Journal of Chromatography B. 1148. 122134–122134. 5 indexed citations
9.
Honemann, Maximilian N., et al.. (2019). Monitoring polysorbate hydrolysis in biopharmaceuticals using a QC-ready free fatty acid quantification method. Journal of Chromatography B. 1116. 1–8. 35 indexed citations
10.
Klemm, Denis, et al.. (2018). Rapid Online Reduction and Characterization of Protein Modifications Using Fully Automated Two-Dimensional High Perform Liquid Chromatography-Mass Spectrometry. Data Archiving and Networked Services (DANS). 31(1). 10–21. 6 indexed citations
11.
Jenzsch, Marco, et al.. (2017). Trends in Process Analytical Technology: Present State in Bioprocessing. Advances in biochemical engineering, biotechnology. 165. 211–252. 18 indexed citations
12.
Leucht, Christoph, et al.. (2017). Further increase in thermostability of Moloney murine leukemia virus reverse transcriptase by mutational combination. Protein Engineering Design and Selection. 30(8). 551–557. 17 indexed citations
13.
Gstöttner, Christoph, et al.. (2017). Fast and Automated Characterization of Antibody Variants with 4D HPLC/MS. Analytical Chemistry. 90(3). 2119–2125. 58 indexed citations
14.
Varela, Lorena, Christian Bell, Judith P. Armitage, & Christina Redfield. (2016). 1H, 13C and 15N resonance assignments for the response regulator CheY3 from Rhodobacter sphaeroides. Biomolecular NMR Assignments. 10(2). 373–378.
15.
Bishop, B., et al.. (2015). Repulsive guidance molecule is a structural bridge between neogenin and bone morphogenetic protein. Nature Structural & Molecular Biology. 22(6). 458–465. 81 indexed citations
16.
Bell, Christian, Susan van Erp, B. Bishop, et al.. (2013). Structure of the Repulsive Guidance Molecule (RGM)–Neogenin Signaling Hub. Science. 341(6141). 77–80. 51 indexed citations
17.
Bell, Christian, A.R. Aricescu, E. Yvonne Jones, & Christian Siebold. (2011). A Dual Binding Mode for RhoGTPases in Plexin Signalling. PLoS Biology. 9(8). e1001134–e1001134. 46 indexed citations
18.
Janssen, B.J.C., R.A. Robinson, Francesc Pérez‐Brangulí, et al.. (2010). Structural basis of semaphorin–plexin signalling. Nature. 467(7319). 1118–1122. 185 indexed citations
19.
Bell, Christian, et al.. (2010). Using Structural Information to Change the Phosphotransfer Specificity of a Two-Component Chemotaxis Signalling Complex. PLoS Biology. 8(2). e1000306–e1000306. 52 indexed citations
20.
Bell, Christian, Ralph Pantophlet, A. Schiefner, et al.. (2007). Structure of Antibody F425-B4e8 in Complex with a V3 Peptide Reveals a New Binding Mode for HIV-1 Neutralization. Journal of Molecular Biology. 375(4). 969–978. 68 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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